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Dynamic distillation based multi-scale lightweight target detection
For target detection tasks of autonomous driving, the scales of targets vary greatly, which brings huge challenges to current target detection...
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Underwater image enhancement based on adaptive color correction and multi-scale fusion
In actual captured underwater images, serious color distortion, detail loss and limited visibility are common issues due to the combined influence of...
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A novel defect detection method for color printing fabrics based on attention mechanism and space-to-depth transformation
Defect detection of color printing fabrics is a challenging branch of the textile industry. However, due to the issues of multi-scale defects and...
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Belief space-guided approach to self-adaptive particle swarm optimization
Particle swarm optimization (PSO) performance is sensitive to the control parameter values used, but tuning of control parameters for the problem at...
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A Data-Driven Algorithm for Large-Scale Multi-camera Calibration
Multi-camera calibration, which is the establishment of a map** relationship between the 2D coordinates of individual cameras and the 3D world...
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Space Network Security
In the recent years, the Internet-of-Things (IoT) has been extensively investigated as an enabling technology to support massive devices or sensors....
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3D model representation using space curves: an efficient mesh simplification method by exchanging triangulated mesh to space curves
Simplification of Computer-Aided-Design models plays an important role in reducing the complex features of man-made objects produced according to...
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An Efficient Cloudlet Deployment Method Based on Approximate Graph Cut in Large-scale WMANs
Mobile edge computing provides a low-latency, high-bandwidth cloud computing environment for resource-constrained mobile devices by allowing mobile...
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Knowledge-enhanced multi-task recommendation in hyperbolic space
Multi-task learning has recently inspired a series of fruitful research in the field of recommendation due to its ability to handle complex scenarios...
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Large-Scale Agile Frameworks
If the criteria summarized in the Scaled Agile/Large-Scale Agile Development section apply to your organization, a Large-Scale Agile framework...
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Attribute subspace-guided multi-scale community detection
Community detection is designed to divide a network into multiple subnetworks (communities) with high cohesiveness, which has attracted wide...
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Multi-scale motivated neural network for image-text matching
Existing mainstream image-text matching methods usually measure the relevance of image-text pairs by capturing and aggregating the affinities between...
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An enhanced shuffled Shepherd Optimization Algorithm for optimal design of large-scale space structures
Shuffled Shepherd Optimization Algorithm (SSAO) is a swarm intelligence-based optimizer inspired by the herding behavior of shepherds in nature. SSOA...
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Robust corner detection in continuous space
Corner detection is important in image analysis and understanding, but most existing corner detectors are sensitive to image quality, lens radial...
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Readiness of teachers for blended learning: A scale development study
The aim of this study is to create a new scale to assess teachers' readiness for blended learning. There are 317 active teachers volunteering in the...
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CSDG-FAS: Closed-Space Domain Generalization for Face Anti-spoofing
Domain generalization based Face Anti-spoofing (FAS) aims to enhance its ability to work in unseen domains. Existing methods endeavor to extract a...
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Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
The recently proposed DEtection TRansformer (DETR) has established a fully end-to-end paradigm for object detection. However, DETR suffers from slow...
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Keep It Simple: Evaluating Local Search-Based Latent Space Editing
Semantic image editing allows users to selectively change entire image attributes in a controlled manner with just a few clicks. Most approaches use...
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An adaptive variance vector-based evolutionary algorithm for large scale multi-objective optimization
Large scale multi-objective optimization problems often involve hundreds or thousands of decision variables. Regular methods tend to divide decision...
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Multi-scale dual-modal generative adversarial networks for text-to-image synthesis
Generating images from text descriptions is a challenging task due to the natural gap between the textual and visual modalities. Despite the...
